Bridging from Concepts to Data and Computation for eScience — BC2DC’19 @eScience19

The Bridging from Concepts to Data and Computation for eScience (BC2DC’19) Workshop will be held in conjunction with eScience’19 on Tuesday September 24, 2019 in San Diego, CA.

Important Dates

  • Papers due: July 10, 2019
  • Paper Acceptance Notification: July 24, 2019
  • Camera-ready deadline: July 29, 2019
  • Workshop: September 24, 2019

Workshop Description

How can we enable e-Science developers to conceptualize research and translate it to system requirements?
How should we make such processes understandable, reliable, stable and sustainable? 
How should advances in engineering deliver the expanding power of distributed computation, heterogeneous (cloud and data) platforms and the massive – still rapidly growing – wealth of data?
How can we make it easier for organizations and researchers to engage in multiple research collaborations and to adapt rapidly to changing requirements and new opportunities?

Research addressing global challenges federates a growing diversity of disciplines, requires sustained contributions from many autonomous organizations and builds on heterogeneous evolving computational platforms. Scientific knowledge is scattered across cloud-based services, local storage, and in source code targeting specific architectures and computational contexts. Concepts reflected in disparate sources are hardly computer-communicable and computer-actionable across or even within disciplines. This makes traceability, communication of methods, provenance gathering and reusing data and methods harder and more time-consuming. Agile response to new needs and opportunities may be accelerated when the available methods and required components have mutually comprehensible descriptions. Commercial clouds play an increasingly important role in large-scale scientific experimentation. Examples of diversity in technology and jurisdiction, as well as in the large-scale exploitation of clouds can be found on both sides of the Atlantic: in the European Open Science Cloud (EOSC) as well as in the ongoing massive migration of data and other resources onto Amazon’s AWS by NASA.

It follows that while potential for large-scale data-driven experimentation increases, so does complexity as well as the risk of getting locked into vendor-specific solutions. To deal with these challenges and to help researchers make better and transparent use of diverse infrastructures many systems propose higher-level abstraction to hide and orchestrate infrastructural and implementation details. Domain experts need to directly control sophisticated and dynamic concepts pertaining to data, execution contexts and diverse e-infrastructures. Furthermore, they need mechanisms that allow them to take responsibility for the quality of results, without distracting technological artefacts.

These often take the form of service-based platforms, containerised solutions, APIs, ontological descriptions of underlying resources, provenance repositories, etc. This workshop focuses on platform-driven and domain-specific developments that contribute towards unifying underlying platforms, clouds, data, computational resources and concepts in order to empower research developers to deliver, maintain and communicate larger, increasingly complex eScience systems.

In particular we welcome contributions in the following areas, not excluding other topics of interest:

  • Semantic concept description and implementation 
  • Specification and execution of conceptually formulated methods
  • Component descriptions facilitating reliable composition
  • Architectures, frameworks and design patterns delivering flexible use and incremental composition
  • Cloud, fog, edge and specialized platforms
  • Pervasive and persistent provenance 
  • Platforms of platforms, containers, orchestration and microservices
  • HPC computing over Cloud

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14th Workflows in Support of Large-Scale Science – WORKS 2019 @SC19

The 14th Workflows in Support of Large-Scale Science (WORKS) Workshop will be held in conjunction with SC19 on Sunday November 17, 2019 in Denver, CO.

Important Dates

  • Papers due: July 15, 2019
  • Paper Acceptance Notification: September 1, 2019
  • E-copyright registration completed by authors: October 1, 2019
  • Camera-ready deadline: October 1, 2019
  • Workshop: November 17, 2019

Workshop Description

Data-intensive Workflows (a.k.a. scientific workflows) are routinely used in most scientific disciplines today, especially in the context of parallel and distributed computing. Workflows provide a systematic way of describing the analysis and rely on workflow management systems to execute the complex analyses on a variety of distributed resources. They are at the interface between end-users and computing infrastructures. With the dramatic increase of raw data volume in every domain, they play an even more critical role to assist scientists in organizing and processing their data and to leverage HPC or HTC resources, e.g., workflows played an important role in the discovery of Gravitational Waves.

This workshop focuses on the many facets of data-intensive workflow management systems, ranging from job execution to service management and the coordination of data, service and job dependencies. The workshop therefore covers a broad range of issues in the scientific workflow lifecycle that include: data-intensive workflows representation and enactment; designing workflow composition interfaces; workflow mapping techniques that may optimize the execution of the workflow; workflow enactment engines that need to deal with failures in the application and execution environment; and a number of computer science problems related to scientific workflows such as semantic technologies, compiler methods, fault detection and tolerance.


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WORKS 2018 Proceedings

The proceedings of the 13th Workflows in Support of Large-Scale Science Workshop is now available.

The Workshop on Workflows in Support of Large-Scale Science (WORKS) has been established as a premier forum on all aspects in relation to scientific workflows. The 13th edition of the workshop, WORKS 2018, co-located with SC18 in Dallas, Texas, USA, followed the successful tradition of previous years (Paris, 2006; Monterey Bay, 2007; Austin, 2008; Portland, 2009; New Orleans, 2010; Seattle, 2011; Salt Lake City, 2012; Denver, 2013; New Orleans, 2014; Austin, 2015; Salt Lake City, 2016; Denver, 2017). WORKS 2018 focuses on the many facets of data- intensive workflow management systems, ranging from data-intensive workflows representation and enactment to scheduling and resource allocation to provenance to workflow enactment on heterogeneous architectures as well as workflow tools and support environments.

The Call for Papers attracted 19 submissions. After a rigorous review process where each paper received at least two reviews, 8 papers were accepted for a full presentation (acceptance rate 42%). The workshop took place on Sunday, 11 November 2018 and the program also featured an invited keynote by Ilkay Altintas, three lightning talks and a panel discussion. The proceedings include the eight full papers accepted and presented at the workshop. We would like to thank the authors, the presenters, the general chair, the steering committee, the publicity chairs, the program committee, and the SC18 workshop chairs – without their excellent work and contributions WORKS would not be successful.

List of papers published:

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13th Workflows in Support of Large-Scale Science – WORKS @SC18


Held in conjunction with SC18: The International Conference for High Performance Computing, Networking, Storage and Analysis

Data-intensive workflows (a.k.a. scientific workflows) are routinely used in most scientific disciplines today, especially in the context of high-performance, parallel and distributed computing. They provide a systematic way of describing a complex scientific process and rely on sophisticated workflow management systems to execute on a variety of parallel and distributed resources. With the dramatic increase of raw data volume in every domain, they play an even more critical role to assist scientists in organizing and processing their data and to leverage HPC or HTC resources, being at the interface between end-users and computing infrastructures.

This workshop focuses on the many facets of data-intensive workflow management systems, ranging from actual execution to service management and the coordination and optimization of data, service and job dependencies. The workshop covers a broad range of issues in the scientific workflow lifecycle that include: data-intensive workflows representation and enactment; designing workflow composition interfaces; workflow mapping techniques to optimize the execution of the workflow for different infrastructures; workflow enactment engines that need to deal with failures in the application and execution environment; and a number of computer science problems related to scientific workflows such as semantic technologies, compiler methods, scheduling and fault detection and tolerance.


Important Dates
Papers due: July 30 August 13, 2018
Paper Acceptance Notification: September 9 September 25, 2018

 

 

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